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Debarghya Ghoshdastidar
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Cited by
Year
Consistency of spectral partitioning of uniform hypergraphs under planted partition model
D Ghoshdastidar, A Dukkipati
Advances in Neural Information Processing Systems 27, 2014
772014
Consistency of spectral hypergraph partitioning under planted partition model
D Ghoshdastidar, A Dukkipati
The Annals of Statistics 45 (1), 289-315, 2017
702017
A provable generalized tensor spectral method for uniform hypergraph partitioning
D Ghoshdastidar, A Dukkipati
International Conference on Machine Learning, 400-409, 2015
382015
Uniform hypergraph partitioning: Provable tensor methods and sampling techniques
D Ghoshdastidar, A Dukkipati
The Journal of Machine Learning Research 18 (1), 1638-1678, 2017
372017
Two-sample tests for large random graphs using network statistics
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg
Conference on Learning Theory (COLT) 65, 954-977, 2017
362017
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg
Annals of Statistics 48 (4), 2208-2229, 2020
332020
Comparison based nearest neighbor search
S Haghiri, D Ghoshdastidar, U von Luxburg
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017
312017
Practical methods for graph two-sample testing
D Ghoshdastidar, U Von Luxburg
Advances in Neural Information Processing Systems 31, 2018
272018
Foundations of comparison-based hierarchical clustering
D Ghoshdastidar, M Perrot, U von Luxburg
Advances in neural information processing systems 32, 2019
252019
Spectral clustering using multilinear SVD: Analysis, approximations and applications
D Ghoshdastidar, A Dukkipati
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
242015
q-Gaussian based smoothed functional algorithms for stochastic optimization
D Ghoshdastidar, A Dukkipati, S Bhatnagar
2012 IEEE International Symposium on Information Theory Proceedings, 1059-1063, 2012
82012
HOLISMOKES-VII. Time-delay measurement of strongly lensed Type Ia supernovae using machine learning
S Huber, SH Suyu, D Ghoshdastidar, S Taubenberger, V Bonvin, ...
Astronomy & Astrophysics 658, A157, 2022
6*2022
On the optimality of kernels for high-dimensional clustering
LC Vankadara, D Ghoshdastidar
International Conference on Artificial Intelligence and Statistics, 2185-2195, 2020
62020
Mixture modeling with compact support distributions for unsupervised learning
A Dukkipati, D Ghoshdastidar, J Krishnan
2016 International Joint Conference on Neural Networks (IJCNN), 2706-2713, 2016
62016
Near-optimal comparison based clustering
M Perrot, P Esser, D Ghoshdastidar
Advances in Neural Information Processing Systems 33, 19388-19399, 2020
52020
Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions
D Ghoshdastidar, A Dukkipati, S Bhatnagar
ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (3), 1-26, 2014
52014
Learning With Jensen-Tsallis Kernels
D Ghoshdastidar, AP Adsul, A Dukkipati
IEEE Transactions on Neural Networks and Learning Systems 27 (10), 2108-2119, 2016
42016
Spectral Clustering with Jensen-type kernels and their multi-point extensions
D Ghoshdastidar, A Dukkipati, AP Adsul, AS Vijayan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
42014
Recovery guarantees for kernel-based clustering under non-parametric mixture models
LC Vankadara, S Bordt, U von Luxburg, D Ghoshdastidar
International Conference on Artificial Intelligence and Statistics, 3817-3825, 2021
22021
Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms
D Ghoshdastidar, A Dukkipati, S Bhatnagar
Automatica 50 (10), 2606-2614, 2014
22014
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